Import model of flexible woven composites in ANSYS Mechanical APDL

Kozhanov, D. A.; Lyubimov, A. K.

doi:10.20537/2076-7633-2018-10-6-789-799

Cited by 2 publications

(4 citation statements)

References 23 publications

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“…If a large amount of metal powders is added, which increases the strength, the composite material loses its elasticity. For samples with a coefficient of the ratio of the radii of the form, it allows us to assume that the specification of metal powders in the deformation resistance diagram improves the quality of the layer-by-layer pressing process [13,14,15], but on the other hand, reduces the strength characteristics of the composite, this fact contributes to a further deepening of the study of optimal parameters of the ratio of inserts and matrices. As shown in figure 9.…”

Section: Resultsmentioning

confidence: 99%

“…At the same time, there is a lack of practical value due to the wide range of possible values of two different micro-characteristics, and the only way to narrow the calculated "fork" is to show the relative location and geometry of The Shape of the phase zones that make up the metal-polymer composite. Such methods and approaches lead to individual computational analysis of material structures, under the influence of which a method of direct calculation of the mechanics of the medium of a metal-polymer composite material arises, which gives rise to the theory of averaging [13,14,15]. Such calculations are now widely developed in connection with the development of computer programs, such as MSC.…”

Section: Methodsmentioning

confidence: 99%

“…Many studies have shown that the percentage of powder Binder is in the ratio of 60% to 40%, and this percentage of feedstock contains 90% or more powders. If the material contains a high percentage of powder, this leads to a low instability index [13], and leads to a high viscosity during the melting period of feedstock [14]. In their research [9], the authors said that the quality of the filament can be determined by two main parameters, which are the limits of tensile and bending strength.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Computer modeling and verification of mechanical properties of metal-polymer composite materials used in the technological process of layer-by-layer growing of parts used in the technological process of layer-by-layer growing

Isametova,

Absadykov,

Bazarbay

et al. 2022

bultechenukz

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The article presents the results of computer modeling of the microstructure of a composite material consisting of a polyamide matrix and metal inclusions. The researched composition is one of the advanced trends in the production of materials for advanced MIM technologies. This paper describes the design of a new pressing device to produce composite rods. Computer modeling of mechanical properties of composite metal-polymer material was performed in the high-level CAD system DIGIMAT module MF. Micro-level modeling of the composite made it possible to establish the relationship between the percentage of inclusions and the upper yield strength of the material and the influence of the shape of the inclusions on the tensile strength of the designed material. The computational experiment results were verified with the results of the field experiment for the samples produced by the injection molding technology and the 3D printing technology.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Computer modeling and verification of mechanical properties of metal-polymer composite materials used in the technological process of layer-by-layer growing of parts used in the technological process of layer-by-layer growing

Isametova,

Absadykov,

Bazarbay

et al. 2022

bultechenukz

View full text Add to dashboard Cite

show abstract

“…And BP [12] neural network optimized by multi-generation genetic algorithm [13][14][15] is used to invert the mechanical parameters in the model, which ensures the efficiency and precision of parameter inversion. Finally, the rheological equation was written by using parametric programming language and incorporated into the general finite element software ANSYS [16][17][18][19][20] to simulate the rheological, mechanical behavior of the tunnel rock mass under the condition of water filling, and the surrounding rock displacement, stress, plastic zone and support stress of the tunnel were obtained, so as to comprehensively evaluate the long-term stability of the project.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Parameter Inversion in Sandstone Diversion Tunnel and Stability Analysis during Operation Period

et al. 2019

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A large number of experimental studies show that the mechanical parameters of deep buried surrounding rock show significant attenuation characteristics with the increase of strain from the rheological acceleration stage to the attenuation stage. However, the existing numerical models all take mechanical parameters as constants when describing the rheological behavior of surrounding rocks, which can only be applied to the stability analysis of the shallowly buried tunnel. Therefore, this work proceeding from the actual project, improved the sandstone rheological constitutive model and optimized the algorithm of parameter inversion, and put forward a long-term stability analysis model that can accurately reflect the rheological characteristics of surrounding rocks under the complex geological condition including high stress induced by great depth and high seepage pressure. In the process, a three-dimensional nonlinear rheological damage model was established based on Burgers rheological model by introducing damage factors into the derivation of the sandstone rheological constitutive model to accurately describe the rheological behaviors of the deep buried tunnel. And BP (Back Propagation) neural network optimized by the multi-descendant genetic algorithm is used to invert the mechanical parameters in the model, which improves the efficiency and precision of parameter inversion. Finally, the rheological equation was written by using parametric programming language and incorporated into the general finite element software ANSYS to simulate the rheological behavior of the tunnel rock mass at runtime. The results of the model analysis are in good agreement with the monitoring data in the later stage. The research results can provide a reference for the stability analysis of similar projects.

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Import model of flexible woven composites in ANSYS Mechanical APDL

Cited by 2 publications

References 23 publications

Computer modeling and verification of mechanical properties of metal-polymer composite materials used in the technological process of layer-by-layer growing of parts used in the technological process of layer-by-layer growing

Computer modeling and verification of mechanical properties of metal-polymer composite materials used in the technological process of layer-by-layer growing of parts used in the technological process of layer-by-layer growing

Mechanical Parameter Inversion in Sandstone Diversion Tunnel and Stability Analysis during Operation Period

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